On Sampling Random Features From Empirical Leverage Scores: Implementation and Theoretical Guarantees

20 March 2019

Papers citing "On Sampling Random Features From Empirical Leverage Scores: Implementation and Theoretical Guarantees"

7 / 7 papers shown

Title
Learning with SGD and Random Features Luigi Carratino Alessandro Rudi Lorenzo Rosasco 53 77 0 17 Jul 2018
Random Fourier Features for Kernel Ridge Regression: Approximation Bounds and Statistical Guarantees H. Avron Michael Kapralov Cameron Musco Christopher Musco A. Velingker A. Zandieh 58 156 0 26 Apr 2018
Orthogonal Random Features Felix X. Yu A. Suresh K. Choromanski D. Holtmann-Rice Sanjiv Kumar 86 222 0 28 Oct 2016
Quasi-Monte Carlo Feature Maps for Shift-Invariant Kernels H. Avron Vikas Sindhwani Jiyan Yang Michael W. Mahoney 84 166 0 29 Dec 2014
Fastfood: Approximate Kernel Expansions in Loglinear Time Quoc V. Le Tamás Sarlós Alex Smola 89 442 0 13 Aug 2014
The Randomized Dependence Coefficient David Lopez-Paz Philipp Hennig Bernhard Schölkopf 102 190 0 29 Apr 2013
Sharp analysis of low-rank kernel matrix approximations Francis R. Bach 152 282 0 09 Aug 2012